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 Duration 7 hours

Course Outline

Introduction to PL-300 Certification

  • Exam objectives and structural overview
  • Assessed skills and key competency domains
  • Recommended preparation resources and study approaches

Data Preparation for Financial Reporting

  • Data extraction and cleansing via Power Query
  • Consolidating diverse financial data sources
  • Managing time-dependent and transactional datasets

Financial Data Modeling

  • Architecting data models for financial analysis
  • Establishing relationships and hierarchies (e.g., accounts, cost centers, departments)
  • Creating measures for tracking revenue, costs, and profits

Developing Financial KPIs and Calculations

  • Core financial metrics: ROI, variance, margins, and growth rates
  • Applying DAX for year-to-date and rolling window calculations
  • Designing custom KPIs to evaluate business performance

Visualizing Financial Insights

  • Developing executive dashboards and scorecards
  • Utilizing conditional formatting and key influencer visuals
  • Generating visuals for variance, trend, and cash flow analysis

Exam Readiness and Practice

  • Analysis of typical PL-300 questions and scenarios
  • Case-based exercises aligned with exam topics
  • Final review: best practices and test-taking techniques

Hands-on Project: Financial Dashboard Simulation

  • Constructing a comprehensive financial analysis report for a sample organization
  • Integrating data modeling, measures, and visual elements
  • Peer review and constructive feedback session

Wrap-up and Future Pathways

Requirements

  • Familiarity with Power BI data modeling and visualization techniques
  • Practical experience handling financial data or reporting tasks
  • Foundational understanding of DAX and Excel formulas

Target Audience

  • Financial analysts aspiring to achieve the Microsoft PL-300 certification
  • Business intelligence specialists dedicated to financial reporting
  • Accountants and finance managers leveraging Power BI for data-driven decision-making

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